| Flower: A friendly federated learning framework DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... | 927* | 2022 |
| A first look into the carbon footprint of federated learning X Qiu, T Parcollet, J Fernandez-Marques, PPB Gusmao, Y Gao, DJ Beutel, ... Journal of Machine Learning Research 24 (129), 1-23, 2023 | 86 | 2023 |
| Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ... Nature machine intelligence 5 (7), 799-810, 2023 | 63 | 2023 |
| On-device federated learning with flower A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ... arXiv preprint arXiv:2104.03042, 2021 | 47 | 2021 |
| End-to-end speech recognition from federated acoustic models Y Gao, T Parcollet, S Zaiem, J Fernandez-Marques, PPB de Gusmao, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 43 | 2022 |
| Can federated learning save the planet? X Qiu, T Parcollet, DJ Beutel, T Topal, A Mathur, ND Lane NeurIPS-Tackling Climate Change with Machine Learning, 2020 | 32 | 2020 |
| Secure aggregation for federated learning in flower KH Li, PPB de Gusmão, DJ Beutel, ND Lane Proceedings of the 2nd ACM International Workshop on Distributed Machine …, 2021 | 26 | 2021 |
| Flower: A Friendly Federated Learning Research Framework. 2020. doi: 10.48550 DJ Beutel, T Topal, A Mathur ARXIV, 2007 | 25 | 2007 |
| Proof of kernel work: A democratic low-energy consensus for distributed access-control protocols LN Lundbæk, D Janes Beutel, M Huth, S Jackson, L Kirk, R Steiner Royal Society Open Science 5 (8), 180422, 2018 | 24 | 2018 |
| Medperf: open benchmarking platform for medical artificial intelligence using federated evaluation A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, S Bala, ... arXiv preprint arXiv:2110.01406, 2021 | 23 | 2021 |
| PP d. Gusmao, and ND Lane,“Flower: A friendly federated learning research framework,” DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... arXiv preprint arXiv:2007.14390, 2020 | 22 | 2020 |
| Gradient-less federated gradient boosting tree with learnable learning rates C Ma, X Qiu, D Beutel, N Lane Proceedings of the 3rd Workshop on Machine Learning and Systems, 56-63, 2023 | 12 | 2023 |
| Flower: A Friendly Federated Learning Research Framework. CoRR abs/2007.14390 (2020) DJ Beutel, T Topal, A Mathur, X Qiu, T Parcollet, ND Lane arXiv preprint arXiv:2007.14390, 2020 | 12 | 2020 |
| On-device federated learning with flower. arXiv 2021 A Mathur, DJ Beutel, PPB de Gusmão, J Fernandez-Marques, T Topal, ... arXiv preprint arXiv:2104.03042, 0 | 7 | |
| Practical proof of kernel work & distributed adaptiveness LN Lundbæk, DJ Beutel, M Huth, L Kirk manuscript Version 1, 2018 | 5 | 2018 |
| Supercharging Federated Learning with Flower and NVIDIA FLARE HR Roth, DJ Beutel, Y Cheng, JF Marques, H Pan, C Chen, Z Zhang, ... arXiv preprint arXiv:2407.00031, 2024 | 1 | 2024 |
| medixain: Robust Blockchain Optimization Enabling Individual Medical Wallet Architecture LN Lundbæk, X AG, L Kirk, D Ottewell, DJ Beutel, AD de Molina Rius, ... | 1 | 2017 |
| Keynote Speech 4 Federated Learning for IoT DJ Beutel 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC), 1-1, 2024 | | 2024 |
| Secure Aggregation for Federated Learning in Flower K Hei Li, P Porto Buarque de Gusmão, DJ Beutel, ND Lane arXiv e-prints, arXiv: 2205.06117, 2022 | | 2022 |
| Flower Labs GmbH, Germany Title: Federated Learning: Catalyzing the Next AI Breakthrough DJ Beutel | | |
